diff --git a/examples/pipeline/wikidata_entity_linking.py b/examples/pipeline/wikidata_entity_linking.py
index a8a3eec1e..3b0943167 100644
--- a/examples/pipeline/wikidata_entity_linking.py
+++ b/examples/pipeline/wikidata_entity_linking.py
@@ -442,11 +442,11 @@ if __name__ == "__main__":
 
     print()
     print("dumping kb1")
+    print(KB_FILE, type(KB_FILE))
     kb1.dump(KB_FILE)
 
     # STEP 4 : read KB back in from file
 
-    nlp3 = spacy.load('en_core_web_sm')
     kb3 = KnowledgeBase(vocab=my_vocab)
 
     print("loading kb3")
diff --git a/spacy/kb.pxd b/spacy/kb.pxd
index 5f7bfa46c..82b06d192 100644
--- a/spacy/kb.pxd
+++ b/spacy/kb.pxd
@@ -19,6 +19,7 @@ cdef class Candidate:
 
     cdef readonly KnowledgeBase kb
     cdef hash_t entity_hash
+    cdef float entity_freq
     cdef hash_t alias_hash
     cdef float prior_prob
 
diff --git a/spacy/kb.pyx b/spacy/kb.pyx
index f3d5ecaa9..ad2e13b5e 100644
--- a/spacy/kb.pyx
+++ b/spacy/kb.pyx
@@ -26,9 +26,10 @@ from libcpp.vector cimport vector
 
 cdef class Candidate:
 
-    def __init__(self, KnowledgeBase kb, entity_hash, alias_hash, prior_prob):
+    def __init__(self, KnowledgeBase kb, entity_hash, entity_freq, alias_hash, prior_prob):
         self.kb = kb
         self.entity_hash = entity_hash
+        self.entity_freq = entity_freq
         self.alias_hash = alias_hash
         self.prior_prob = prior_prob
 
@@ -52,6 +53,10 @@ cdef class Candidate:
         """RETURNS (unicode): ID of the original alias"""
         return self.kb.vocab.strings[self.alias_hash]
 
+    @property
+    def entity_freq(self):
+        return self.entity_freq
+
     @property
     def prior_prob(self):
         return self.prior_prob
@@ -156,6 +161,7 @@ cdef class KnowledgeBase:
 
         return [Candidate(kb=self,
                           entity_hash=self._entries[entry_index].entity_hash,
+                          entity_freq=self._entries[entry_index].prob,
                           alias_hash=alias_hash,
                           prior_prob=prob)
                 for (entry_index, prob) in zip(alias_entry.entry_indices, alias_entry.probs)
diff --git a/spacy/tests/serialize/test_serialize_kb.py b/spacy/tests/serialize/test_serialize_kb.py
new file mode 100644
index 000000000..ae0eedeeb
--- /dev/null
+++ b/spacy/tests/serialize/test_serialize_kb.py
@@ -0,0 +1,64 @@
+from ..util import make_tempdir
+from ...util import ensure_path
+
+from spacy.kb import KnowledgeBase
+
+
+def test_serialize_kb_disk(en_vocab):
+    kb1 = KnowledgeBase(vocab=en_vocab)
+
+    kb1.add_entity(entity="Q53", prob=0.33)
+    kb1.add_entity(entity="Q17", prob=0.2)
+    kb1.add_entity(entity="Q007", prob=0.7)
+    kb1.add_entity(entity="Q44", prob=0.4)
+    kb1.add_alias(alias="double07", entities=["Q17", "Q007"], probabilities=[0.1, 0.9])
+    kb1.add_alias(alias="guy", entities=["Q53", "Q007", "Q17", "Q44"], probabilities=[0.3, 0.3, 0.2, 0.1])
+    kb1.add_alias(alias="random", entities=["Q007"], probabilities=[1.0])
+
+    # baseline assertions
+    _check_kb(kb1)
+
+    # dumping to file & loading back in
+    with make_tempdir() as d:
+        dir_path = ensure_path(d)
+        if not dir_path.exists():
+            dir_path.mkdir()
+        file_path = dir_path / "kb"
+        print(file_path, type(file_path))
+        kb1.dump(str(file_path))
+
+        kb2 = KnowledgeBase(vocab=en_vocab)
+        kb2.load_bulk(str(file_path))
+
+    # final assertions
+    _check_kb(kb2)
+
+
+def _check_kb(kb):
+    # check entities
+    assert kb.get_size_entities() == 4
+    for entity_string in ["Q53", "Q17", "Q007", "Q44"]:
+        assert entity_string in kb.get_entity_strings()
+    for entity_string in ["", "Q0"]:
+        assert entity_string not in kb.get_entity_strings()
+
+    # check aliases
+    assert kb.get_size_aliases() == 3
+    for alias_string in ["double07", "guy", "random"]:
+        assert alias_string in kb.get_alias_strings()
+    for alias_string in ["nothingness", "", "randomnoise"]:
+        assert alias_string not in kb.get_alias_strings()
+
+    # check candidates & probabilities
+    candidates = sorted(kb.get_candidates("double07"), key=lambda x: x.entity_)
+    assert len(candidates) == 2
+
+    assert candidates[0].entity_ == "Q007"
+    assert candidates[0].entity_freq < 0.701 and candidates[0].entity_freq > 0.699
+    assert candidates[0].alias_ == "double07"
+    assert candidates[0].prior_prob < 0.901 and candidates[0].prior_prob > 0.899
+
+    assert candidates[1].entity_ == "Q17"
+    assert candidates[1].entity_freq < 0.201 and candidates[1].entity_freq > 0.199
+    assert candidates[1].alias_ == "double07"
+    assert candidates[1].prior_prob < 0.101 and candidates[1].prior_prob > 0.099